code: def __init__(self, sigma_min=0.002, sigma_max=80.0, rho=7.0):
      self.sigma_min = sigma_min
      self.sigma_max = sigma_max
      self.rho = rho
  
file_path: generative-models/sgm/modules/diffusionmodules/discretizer.py
imports: from abc import abstractmethod
  from functools import partial
  import numpy
  import torch
  from ...modules.diffusionmodules.util import make_beta_schedule
  from ...util import append_zero
label_desc: Use image node_id 1 to create a new EDMDiscretization object from inherited base classes: Discretization with example: obj = EDMDiscretization(sigma_min, sigma_max, rho)